Daniel J. Lizotte
Orcid: 0000-0002-9258-8619Affiliations:
- University of Western Ontario, ON, Canada
- University of Alberta, Edmonton, Canada (Ph.D.)
According to our database1,
Daniel J. Lizotte
authored at least 47 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on csd.uwo.ca
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on orcid.org
On csauthors.net:
Bibliography
2023
A Smart Technology Intervention in the Homes of People with Mental Illness and Physical Comorbidities.
Sensors, 2023
Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation.
CoRR, 2023
CoRR, 2023
2022
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?
BMC Medical Informatics Decis. Mak., 2022
Hybrid Feature- and Similarity-Based Models for Prediction and Interpretation using Large-Scale Observational Data.
CoRR, 2022
Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities.
Proceedings of the Participative Urban Health and Healthy Aging in the Age of AI, 2022
2021
J. Heal. Informatics Res., 2021
VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data.
Data, 2021
Ecological Momentary Assessment extensions 3 (EMAX3) Proposal: An app for EMA-type research.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Informatics, 2020
Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology.
Int. J. Medical Informatics, 2020
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020
2019
Sensors, 2019
2017
Proceedings of the Machine Learning for Health Care Conference, 2017
2016
J. Mach. Learn. Res., 2016
Proceedings of the 1st Machine Learning in Health Care, 2016
2015
Reconstruction of 3-D Density Functions from Few Projections: Structural Assumptions for Graceful Degradation.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
2014
Mach. Learn., 2014
Theory and Application of Shapelets to the Analysis of Surface Self-assembly Imaging.
CoRR, 2014
Scalable approximate policies for Markov decision process models of hospital elective admissions.
Artif. Intell. Medicine, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013
2012
J. Glob. Optim., 2012
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012
Integrating Machine Learning Into a Medical Decision Support System to Address the Problem of Missing Patient Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
2011
Informing sequential clinical decision-making through reinforcement learning: an empirical study.
Mach. Learn., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IJCAI 2007, 2007
2006
Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006
2005
Proceedings of the Machine Learning, 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
2002
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002
2001
A parallel numerical algorithm for fredholm integro-differential two-point boundary value problems.
Int. J. Comput. Math., 2001